A Study on Survey and Demand Forecasting Method for Bike Path Network Planning

在日本，许多旨在促进自行车使用的交通政策因环境问题而受到审查。其中一项政策是建造更多的自行车道。这项政策需要需求分析方法，这可以解释自行车用户的行为。同一作者已经提出了自行车路线选择行为和设施特征（例如道路宽度或人行道）。该模型的目标函数只是最大化实际路径和“认知”最小路径之间的重复路径。本文将该模型应用于三个城市，通过考察城市的特征和选择行为，比较了它们的结果。在此基础上，本文提出了一种新的路由选择模型，即“基于拨号算法选择集的路由选择模型”，简称“拨号路由选择模型”。应用Dial算法生成自行车用户选择集，并证明第一个模型可以作为特例包含在第二个模型中。这些模型不仅适用于自行车使用者的行为，也适用于一般的汽车路径选择行为。最后讨论了这两种模型在配流模型汽车需求分析中的应用。

In Japan, many transportation policies aimed to promote bicycle usage have been examined because of environmental issues. One of these policies is to construct more bicycle lanes. This policy requires demand analysis methods, which could explain bicycle users behavior. The same authors already proposed a bicycle route choice behavior and facility characteristics (e.g. road width or sidewalk). The objective function of the model is simply to maximize the duplicate paths between the actual paths and "cognitive" minimum paths. In this paper, the model was adopted to three cities and compared their results by examining the feature and choice behavior. Furthermore, the paper aims to develop a new model called "Route choice model with dial algorithm's choice set" of simply called "Dial Route Choice". The Dial algorithm is applied to generate bicycle users choice set, and it could confirm that the first model can be involved in this second model as a special case. These models can be applied not only to bicycle user's behavior but also to general car route choice behavior. Application of these two models to car demand analysis with assignment model was also discussed.